Schizophrenia Detection and Classification: A Systematic Review of the Last Decade
Background/Objectives: Artificial Intelligence (AI) in healthcare employs advanced algorithms to analyze complex and large-scale datasets, mimicking aspects of human cognition. By automating decision-making processes based on predefined thresholds, AI enhances the accuracy and reliability of healthc...
Saved in:
| Main Authors: | Arghyasree Saha, Seungmin Park, Zong Woo Geem, Pawan Kumar Singh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Diagnostics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4418/14/23/2698 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Schizophrenia detection from electroencephalogram signals using image encoding and wrapper-based deep feature selection approach
by: Utathya Aich, et al.
Published: (2025-07-01) -
Enhanced schizophrenia detection using multichannel EEG and CAOA-RST-based feature selection
by: Mohammad Abrar, et al.
Published: (2025-07-01) -
An open-access EEG dataset from indigenous African populations for schizophrenia researchZenodo
by: S.K. Mosaku, et al.
Published: (2025-10-01) -
Decoding Schizophrenia: How AI-Enhanced fMRI Unlocks New Pathways for Precision Psychiatry
by: Valeria Di Stefano, et al.
Published: (2024-11-01) -
EEG-SymNet: multi-channel EEG signal-based schizophrenia diagnosis using channel recalibration and symmetric spatial temporal transformer network
by: Naif Alsharabi, et al.
Published: (2025-09-01)